| surfing | R Documentation |
Data from the 2019 World Surf League (WSL) tour
data(surfing)
The package contains four datasets from WSL 2019:
surfing, a log likelihood function for the strengths of
the competitors
surfing_maxp, corresponding precalculated evaluate
surfing_venuetypes, a dataframe showing the beach types
at the different venues of the tour
These objects can be generated by running script
inst/surfing.Rmd, which includes some further discussion and
technical documentation and creates file surfing.rda which
resides in the data/ directory.
Robin K. S. Hankin
T. C. Driver and R. K. S. Hankin 2023. “Analysis of competitive surfing tournaments with generalized Bradley-Terry likelihoods”, Journal of Sports Analytics, 9:133–140. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3233/JSA-220596")}
dotchart(surfing_maxp)
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